Dataset statistics
| Number of variables | 29 |
|---|---|
| Number of observations | 15480 |
| Missing cells | 111919 |
| Missing cells (%) | 24.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.4 MiB |
| Average record size in memory | 232.0 B |
Variable types
| Categorical | 22 |
|---|---|
| Numeric | 7 |
Title has a high cardinality: 15071 distinct values | High cardinality |
Genre has a high cardinality: 1780 distinct values | High cardinality |
Tags has a high cardinality: 13378 distinct values | High cardinality |
Languages has a high cardinality: 1438 distinct values | High cardinality |
Country Availability has a high cardinality: 7530 distinct values | High cardinality |
Director has a high cardinality: 6746 distinct values | High cardinality |
Writer has a high cardinality: 9650 distinct values | High cardinality |
Actors has a high cardinality: 12934 distinct values | High cardinality |
Boxoffice has a high cardinality: 3836 distinct values | High cardinality |
Release Date has a high cardinality: 5314 distinct values | High cardinality |
Netflix Release Date has a high cardinality: 1823 distinct values | High cardinality |
Production House has a high cardinality: 3814 distinct values | High cardinality |
Netflix Link has a high cardinality: 15480 distinct values | High cardinality |
IMDb Link has a high cardinality: 12847 distinct values | High cardinality |
Summary has a high cardinality: 15449 distinct values | High cardinality |
Image has a high cardinality: 15479 distinct values | High cardinality |
Poster has a high cardinality: 11666 distinct values | High cardinality |
TMDb Trailer has a high cardinality: 7040 distinct values | High cardinality |
Hidden Gem Score is highly correlated with Metacritic Score and 1 other fields | High correlation |
IMDb Score is highly correlated with Rotten Tomatoes Score and 1 other fields | High correlation |
Rotten Tomatoes Score is highly correlated with IMDb Score and 1 other fields | High correlation |
Metacritic Score is highly correlated with Hidden Gem Score and 4 other fields | High correlation |
Awards Received is highly correlated with Metacritic Score and 1 other fields | High correlation |
Awards Nominated For is highly correlated with Metacritic Score and 1 other fields | High correlation |
IMDb Votes is highly correlated with Hidden Gem Score | High correlation |
Hidden Gem Score is highly correlated with Metacritic Score | High correlation |
IMDb Score is highly correlated with Rotten Tomatoes Score and 1 other fields | High correlation |
Rotten Tomatoes Score is highly correlated with IMDb Score and 1 other fields | High correlation |
Metacritic Score is highly correlated with Hidden Gem Score and 2 other fields | High correlation |
Awards Received is highly correlated with Awards Nominated For | High correlation |
Awards Nominated For is highly correlated with Awards Received | High correlation |
Hidden Gem Score is highly correlated with Metacritic Score and 1 other fields | High correlation |
IMDb Score is highly correlated with Rotten Tomatoes Score and 1 other fields | High correlation |
Rotten Tomatoes Score is highly correlated with IMDb Score and 1 other fields | High correlation |
Metacritic Score is highly correlated with Hidden Gem Score and 2 other fields | High correlation |
Awards Received is highly correlated with Awards Nominated For | High correlation |
Awards Nominated For is highly correlated with Awards Received | High correlation |
IMDb Votes is highly correlated with Hidden Gem Score | High correlation |
View Rating is highly correlated with Series or Movie | High correlation |
Trailer Site is highly correlated with Series or Movie | High correlation |
Series or Movie is highly correlated with View Rating and 2 other fields | High correlation |
Runtime is highly correlated with Series or Movie | High correlation |
Series or Movie is highly correlated with Runtime and 1 other fields | High correlation |
Hidden Gem Score is highly correlated with View Rating and 3 other fields | High correlation |
Runtime is highly correlated with Series or Movie and 1 other fields | High correlation |
View Rating is highly correlated with Series or Movie and 2 other fields | High correlation |
IMDb Score is highly correlated with Hidden Gem Score and 2 other fields | High correlation |
Rotten Tomatoes Score is highly correlated with Hidden Gem Score and 2 other fields | High correlation |
Metacritic Score is highly correlated with Hidden Gem Score and 4 other fields | High correlation |
Awards Received is highly correlated with Metacritic Score and 2 other fields | High correlation |
Awards Nominated For is highly correlated with Metacritic Score and 2 other fields | High correlation |
IMDb Votes is highly correlated with Awards Received and 1 other fields | High correlation |
Genre has 1710 (11.0%) missing values | Missing |
Languages has 1935 (12.5%) missing values | Missing |
Hidden Gem Score has 2101 (13.6%) missing values | Missing |
Director has 4708 (30.4%) missing values | Missing |
Writer has 4330 (28.0%) missing values | Missing |
Actors has 1925 (12.4%) missing values | Missing |
View Rating has 7024 (45.4%) missing values | Missing |
IMDb Score has 2099 (13.6%) missing values | Missing |
Rotten Tomatoes Score has 9098 (58.8%) missing values | Missing |
Metacritic Score has 11144 (72.0%) missing values | Missing |
Awards Received has 9405 (60.8%) missing values | Missing |
Awards Nominated For has 7819 (50.5%) missing values | Missing |
Boxoffice has 11473 (74.1%) missing values | Missing |
Release Date has 2107 (13.6%) missing values | Missing |
Production House has 10331 (66.7%) missing values | Missing |
IMDb Link has 2303 (14.9%) missing values | Missing |
IMDb Votes has 2101 (13.6%) missing values | Missing |
Poster has 3638 (23.5%) missing values | Missing |
TMDb Trailer has 8286 (53.5%) missing values | Missing |
Trailer Site has 8286 (53.5%) missing values | Missing |
Title is uniformly distributed | Uniform |
Writer is uniformly distributed | Uniform |
Actors is uniformly distributed | Uniform |
Boxoffice is uniformly distributed | Uniform |
Netflix Link is uniformly distributed | Uniform |
IMDb Link is uniformly distributed | Uniform |
Summary is uniformly distributed | Uniform |
Image is uniformly distributed | Uniform |
Poster is uniformly distributed | Uniform |
TMDb Trailer is uniformly distributed | Uniform |
Netflix Link has unique values | Unique |
Reproduction
| Analysis started | 2021-10-27 20:49:12.426255 |
|---|---|
| Analysis finished | 2021-10-27 20:49:34.677533 |
| Duration | 22.25 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 15071 |
|---|---|
| Distinct (%) | 97.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 121.1 KiB |
| Godzilla | 4 |
|---|---|
| Kingdom | 4 |
| Unstoppable | 3 |
| Alone | 3 |
| Shameless | 3 |
| Other values (15066) |
Length
| Max length | 106 |
|---|---|
| Median length | 15 |
| Mean length | 17.57383721 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 14704 ? |
|---|---|
| Unique (%) | 95.0% |
Sample
| 1st row | Lets Fight Ghost |
|---|---|
| 2nd row | HOW TO BUILD A GIRL |
| 3rd row | Centigrade |
| 4th row | ANNE+ |
| 5th row | Moxie |
Common Values
| Value | Count | Frequency (%) |
| Godzilla | 4 | < 0.1% |
| Kingdom | 4 | < 0.1% |
| Unstoppable | 3 | < 0.1% |
| Alone | 3 | < 0.1% |
| Shameless | 3 | < 0.1% |
| Shaft | 3 | < 0.1% |
| Love | 3 | < 0.1% |
| The Silence | 3 | < 0.1% |
| Tiger | 3 | < 0.1% |
| Limitless | 3 | < 0.1% |
| Other values (15061) | 15448 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| the | 3960 | 8.2% |
| of | 1258 | 2.6% |
| a | 667 | 1.4% |
| and | 599 | 1.2% |
| in | 471 | 1.0% |
| to | 340 | 0.7% |
| love | 332 | 0.7% |
| 2 | 322 | 0.7% |
| 285 | 0.6% | |
| movie | 278 | 0.6% |
| Other values (13783) | 39578 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1780 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 1710 |
| Missing (%) | 11.0% |
| Memory size | 121.1 KiB |
| Comedy | |
|---|---|
| Drama | 1013 |
| Documentary | 460 |
| Comedy, Drama | 447 |
| Drama, Romance | 429 |
| Other values (1775) |
Length
| Max length | 103 |
|---|---|
| Median length | 18 |
| Mean length | 20.16180102 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 956 ? |
|---|---|
| Unique (%) | 6.9% |
Sample
| 1st row | Crime, Drama, Fantasy, Horror, Romance |
|---|---|
| 2nd row | Comedy |
| 3rd row | Drama, Thriller |
| 4th row | Drama |
| 5th row | Animation, Short, Drama |
Common Values
| Value | Count | Frequency (%) |
| Comedy | 1186 | 7.7% |
| Drama | 1013 | 6.5% |
| Documentary | 460 | 3.0% |
| Comedy, Drama | 447 | 2.9% |
| Drama, Romance | 429 | 2.8% |
| Comedy, Romance | 425 | 2.7% |
| Comedy, Drama, Romance | 356 | 2.3% |
| Crime, Drama, Thriller | 178 | 1.1% |
| Action, Crime, Thriller | 168 | 1.1% |
| Crime, Drama | 139 | 0.9% |
| Other values (1770) | 8969 | |
| (Missing) | 1710 | 11.0% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| drama | 6359 | |
| comedy | 5077 | |
| action | 2810 | 7.9% |
| thriller | 2739 | 7.7% |
| romance | 2445 | 6.8% |
| crime | 1932 | 5.4% |
| adventure | 1809 | 5.1% |
| animation | 1665 | 4.7% |
| fantasy | 1594 | 4.5% |
| family | 1433 | 4.0% |
| Other values (18) | 7845 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 13378 |
|---|---|
| Distinct (%) | 86.8% |
| Missing | 67 |
| Missing (%) | 0.4% |
| Memory size | 121.1 KiB |
| Dramas | 68 |
|---|---|
| Comedies | 37 |
| Comedies,Russian Movies | 29 |
| Stand-up Comedy,Comedies | 26 |
| Italian Comedies,Comedies,Italian Movies | 24 |
| Other values (13373) |
Length
| Max length | 653 |
|---|---|
| Median length | 85 |
| Mean length | 97.37805748 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 12504 ? |
|---|---|
| Unique (%) | 81.1% |
Sample
| 1st row | Comedy Programmes,Romantic TV Comedies,Horror Programmes,Thai TV Programmes |
|---|---|
| 2nd row | Dramas,Comedies,Films Based on Books,British |
| 3rd row | Thrillers |
| 4th row | TV Dramas,Romantic TV Dramas,Dutch TV Shows |
| 5th row | Social Issue Dramas,Teen Movies,Dramas,Comedies,Movies Based on Books |
Common Values
| Value | Count | Frequency (%) |
| Dramas | 68 | 0.4% |
| Comedies | 37 | 0.2% |
| Comedies,Russian Movies | 29 | 0.2% |
| Stand-up Comedy,Comedies | 26 | 0.2% |
| Italian Comedies,Comedies,Italian Movies | 24 | 0.2% |
| Comedies,Stand-Up Comedy | 24 | 0.2% |
| Comedies,Turkish Movies,Turkish Comedies | 21 | 0.1% |
| Kids TV,TV Cartoons,TV Programmes | 19 | 0.1% |
| Children & Family Movies | 19 | 0.1% |
| Thrillers | 17 | 0.1% |
| Other values (13368) | 15129 | |
| (Missing) | 67 | 0.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 11218 | 8.0% | |
| tv | 7684 | 5.5% |
| based | 4703 | 3.3% |
| on | 4703 | 3.3% |
| movies | 3868 | 2.8% |
| action | 3637 | 2.6% |
| sci-fi | 1878 | 1.3% |
| dramas | 1796 | 1.3% |
| family | 1624 | 1.2% |
| films | 1589 | 1.1% |
| Other values (6487) | 97868 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1438 |
|---|---|
| Distinct (%) | 10.6% |
| Missing | 1935 |
| Missing (%) | 12.5% |
| Memory size | 121.1 KiB |
| English | |
|---|---|
| Japanese | |
| Korean | 541 |
| Spanish | 382 |
| Hindi | 329 |
| Other values (1433) |
Length
| Max length | 123 |
|---|---|
| Median length | 7 |
| Mean length | 10.88755999 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1073 ? |
|---|---|
| Unique (%) | 7.9% |
Sample
| 1st row | Swedish, Spanish |
|---|---|
| 2nd row | English |
| 3rd row | English |
| 4th row | Turkish |
| 5th row | English |
Common Values
| Value | Count | Frequency (%) |
| English | 5133 | |
| Japanese | 1213 | 7.8% |
| Korean | 541 | 3.5% |
| Spanish | 382 | 2.5% |
| Hindi | 329 | 2.1% |
| English, Spanish | 267 | 1.7% |
| French | 252 | 1.6% |
| German | 203 | 1.3% |
| English, French | 161 | 1.0% |
| Mandarin | 157 | 1.0% |
| Other values (1428) | 4907 | |
| (Missing) | 1935 | 12.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| english | 8045 | |
| japanese | 1671 | 8.5% |
| spanish | 1144 | 5.8% |
| french | 1057 | 5.4% |
| korean | 737 | 3.8% |
| german | 692 | 3.5% |
| hindi | 539 | 2.7% |
| mandarin | 491 | 2.5% |
| italian | 484 | 2.5% |
| russian | 335 | 1.7% |
| Other values (186) | 4446 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 121.1 KiB |
| Movie | |
|---|---|
| Series |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 5.244379845 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Series |
|---|---|
| 2nd row | Movie |
| 3rd row | Movie |
| 4th row | Series |
| 5th row | Movie |
Common Values
| Value | Count | Frequency (%) |
| Movie | 11697 | |
| Series | 3783 | 24.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| movie | 11697 | |
| series | 3783 | 24.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Hidden Gem Score
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 93 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 2101 |
| Missing (%) | 13.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.937551387 |
| Minimum | 0.6 |
|---|---|
| Maximum | 9.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 0.6 |
|---|---|
| 5-th percentile | 2.1 |
| Q1 | 3.8 |
| median | 6.8 |
| Q3 | 7.9 |
| 95-th percentile | 8.6 |
| Maximum | 9.8 |
| Range | 9.2 |
| Interquartile range (IQR) | 4.1 |
Descriptive statistics
| Standard deviation | 2.250201801 |
|---|---|
| Coefficient of variation (CV) | 0.3789780761 |
| Kurtosis | -1.252594399 |
| Mean | 5.937551387 |
| Median Absolute Deviation (MAD) | 1.5 |
| Skewness | -0.4291293578 |
| Sum | 79438.5 |
| Variance | 5.063408146 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8 | 426 | 2.8% |
| 7.9 | 424 | 2.7% |
| 8.1 | 417 | 2.7% |
| 8.2 | 412 | 2.7% |
| 8.3 | 392 | 2.5% |
| 7.8 | 387 | 2.5% |
| 7.7 | 375 | 2.4% |
| 7.6 | 366 | 2.4% |
| 7.5 | 355 | 2.3% |
| 8.4 | 349 | 2.3% |
| Other values (83) | 9476 | |
| (Missing) | 2101 | 13.6% |
| Value | Count | Frequency (%) |
| 0.6 | 2 | < 0.1% |
| 0.7 | 1 | < 0.1% |
| 0.8 | 4 | < 0.1% |
| 0.9 | 3 | < 0.1% |
| 1 | 6 | < 0.1% |
| 1.1 | 11 | 0.1% |
| 1.2 | 29 | |
| 1.3 | 22 | |
| 1.4 | 41 | |
| 1.5 | 45 |
| Value | Count | Frequency (%) |
| 9.8 | 1 | < 0.1% |
| 9.7 | 2 | < 0.1% |
| 9.6 | 4 | < 0.1% |
| 9.5 | 8 | 0.1% |
| 9.4 | 7 | < 0.1% |
| 9.3 | 26 | 0.2% |
| 9.2 | 31 | 0.2% |
| 9.1 | 56 | |
| 9 | 66 | |
| 8.9 | 105 |
| Distinct | 7530 |
|---|---|
| Distinct (%) | 48.7% |
| Missing | 19 |
| Missing (%) | 0.1% |
| Memory size | 121.1 KiB |
| Japan | |
|---|---|
| South Korea | 715 |
| United Kingdom | 340 |
| Switzerland,Germany | 315 |
| United States | 305 |
| Other values (7525) |
Length
| Max length | 321 |
|---|---|
| Median length | 37 |
| Mean length | 112.9306643 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6963 ? |
|---|---|
| Unique (%) | 45.0% |
Sample
| 1st row | Thailand |
|---|---|
| 2nd row | Canada |
| 3rd row | Canada |
| 4th row | Belgium,Netherlands |
| 5th row | Lithuania,Poland,France,Iceland,Italy,Spain,Greece,Czech Republic,Belgium,Portugal,Canada,Hungary,Mexico,Slovakia,Sweden,South Africa,Netherlands,Germany,Thailand,Turkey,Singapore,Romania,Argentina,Israel,Switzerland,Australia,United Kingdom,Brazil,Malaysia,India,Colombia,Hong Kong,Japan,South Korea,United States,Russia |
Common Values
| Value | Count | Frequency (%) |
| Japan | 1339 | 8.6% |
| South Korea | 715 | 4.6% |
| United Kingdom | 340 | 2.2% |
| Switzerland,Germany | 315 | 2.0% |
| United States | 305 | 2.0% |
| Poland | 279 | 1.8% |
| Italy | 237 | 1.5% |
| Canada | 171 | 1.1% |
| Czech Republic,Slovakia | 168 | 1.1% |
| Thailand | 162 | 1.0% |
| Other values (7520) | 11430 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 1592 | 3.2% |
| south | 1364 | 2.8% |
| japan | 1339 | 2.7% |
| korea | 910 | 1.8% |
| republic,united | 700 | 1.4% |
| states | 651 | 1.3% |
| hong | 596 | 1.2% |
| kong,united | 469 | 1.0% |
| kingdom | 460 | 0.9% |
| states,malaysia,brazil,netherlands,italy,israel,colombia | 411 | 0.8% |
| Other values (17762) | 40821 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 1 |
| Missing (%) | < 0.1% |
| Memory size | 121.1 KiB |
| 1-2 hour | |
|---|---|
| < 30 minutes | |
| > 2 hrs | |
| 30-60 mins | 334 |
Length
| Max length | 12 |
|---|---|
| Median length | 8 |
| Mean length | 8.944763874 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | < 30 minutes |
|---|---|
| 2nd row | 1-2 hour |
| 3rd row | 1-2 hour |
| 4th row | < 30 minutes |
| 5th row | 1-2 hour |
Common Values
| Value | Count | Frequency (%) |
| 1-2 hour | 9121 | |
| < 30 minutes | 3996 | |
| > 2 hrs | 2028 | 13.1% |
| 30-60 mins | 334 | 2.2% |
| (Missing) | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1-2 | 9121 | |
| hour | 9121 | |
| 6024 | ||
| 30 | 3996 | |
| minutes | 3996 | |
| 2 | 2028 | 5.5% |
| hrs | 2028 | 5.5% |
| 30-60 | 334 | 0.9% |
| mins | 334 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6746 |
|---|---|
| Distinct (%) | 62.6% |
| Missing | 4708 |
| Missing (%) | 30.4% |
| Memory size | 121.1 KiB |
| Steven Spielberg | 28 |
|---|---|
| Raúl Campos, Jan Suter | 19 |
| Woody Allen | 18 |
| Johnnie To | 18 |
| Ridley Scott | 17 |
| Other values (6741) |
Length
| Max length | 196 |
|---|---|
| Median length | 13 |
| Mean length | 15.06052729 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4938 ? |
|---|---|
| Unique (%) | 45.8% |
Sample
| 1st row | Tomas Alfredson |
|---|---|
| 2nd row | Coky Giedroyc |
| 3rd row | Brendan Walsh |
| 4th row | Stephen Irwin |
| 5th row | Mez Tharatorn |
Common Values
| Value | Count | Frequency (%) |
| Steven Spielberg | 28 | 0.2% |
| Raúl Campos, Jan Suter | 19 | 0.1% |
| Woody Allen | 18 | 0.1% |
| Johnnie To | 18 | 0.1% |
| Ridley Scott | 17 | 0.1% |
| Marcus Raboy | 17 | 0.1% |
| Tsutomu Shibayama | 16 | 0.1% |
| Pedro Almodóvar | 16 | 0.1% |
| Steven Soderbergh | 16 | 0.1% |
| Jing Wong | 16 | 0.1% |
| Other values (6736) | 10591 | |
| (Missing) | 4708 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| david | 212 | 0.8% |
| john | 177 | 0.7% |
| michael | 148 | 0.6% |
| lee | 132 | 0.5% |
| paul | 121 | 0.5% |
| peter | 118 | 0.5% |
| james | 100 | 0.4% |
| robert | 90 | 0.4% |
| steven | 89 | 0.4% |
| kim | 88 | 0.4% |
| Other values (9088) | 23695 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9650 |
|---|---|
| Distinct (%) | 86.5% |
| Missing | 4330 |
| Missing (%) | 28.0% |
| Memory size | 121.1 KiB |
| Fujio F. Fujiko | 17 |
|---|---|
| Woody Allen | 15 |
| Jing Wong | 15 |
| Pedro Almodóvar | 14 |
| George Lucas | 12 |
| Other values (9645) |
Length
| Max length | 458 |
|---|---|
| Median length | 27 |
| Mean length | 31.25901345 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 8675 ? |
|---|---|
| Unique (%) | 77.8% |
Sample
| 1st row | John Ajvide Lindqvist |
|---|---|
| 2nd row | Caitlin Moran |
| 3rd row | Brendan Walsh, Daley Nixon |
| 4th row | Pattaranad Bhiboonsawade, Thodsapon Thiptinnakorn, Mez Tharatorn |
| 5th row | Ivar Lo-Johansson |
Common Values
| Value | Count | Frequency (%) |
| Fujio F. Fujiko | 17 | 0.1% |
| Woody Allen | 15 | 0.1% |
| Jing Wong | 15 | 0.1% |
| Pedro Almodóvar | 14 | 0.1% |
| George Lucas | 12 | 0.1% |
| Charles Chaplin | 10 | 0.1% |
| Carlo Vanzina, Enrico Vanzina | 10 | 0.1% |
| Luc Besson, Robert Mark Kamen | 9 | 0.1% |
| Taylor Sheridan | 9 | 0.1% |
| Sang-soo Hong | 9 | 0.1% |
| Other values (9640) | 11030 | |
| (Missing) | 4330 | 28.0% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| david | 457 | 0.9% |
| john | 388 | 0.8% |
| michael | 364 | 0.7% |
| paul | 217 | 0.4% |
| robert | 210 | 0.4% |
| lee | 207 | 0.4% |
| mark | 205 | 0.4% |
| james | 185 | 0.4% |
| peter | 184 | 0.4% |
| kim | 156 | 0.3% |
| Other values (16098) | 47933 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12934 |
|---|---|
| Distinct (%) | 95.4% |
| Missing | 1925 |
| Missing (%) | 12.4% |
| Memory size | 121.1 KiB |
| Noriko Ohara, Nobuyo Ôyama, Kaneta Kimotsuki, Michiko Nomura | 15 |
|---|---|
| Liam Neeson, Ewan McGregor, Natalie Portman, Jake Lloyd | 12 |
| Inés Sainz, Luis Ernesto Franco, Rafinha Bastos, Tiki Barber | 9 |
| Priyanka Chopra, Shah Rukh Khan, Isha Koppikar, Arjun Rampal | 8 |
| Yumi Kakazu, Subaru Kimura, Wasabi Mizuta, Megumi Ohara | 8 |
| Other values (12929) |
Length
| Max length | 105 |
|---|---|
| Median length | 57 |
| Mean length | 55.498045 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 12461 ? |
|---|---|
| Unique (%) | 91.9% |
Sample
| 1st row | Kåre Hedebrant, Per Ragnar, Lina Leandersson, Henrik Dahl |
|---|---|
| 2nd row | Paddy Considine, Cleo, Beanie Feldstein, Dónal Finn |
| 3rd row | Genesis Rodriguez, Vincent Piazza |
| 4th row | Vahide Perçin, Gonca Vuslateri, Cansu Dere, Beren Gokyildiz |
| 5th row | Ragga Gudrun |
Common Values
| Value | Count | Frequency (%) |
| Noriko Ohara, Nobuyo Ôyama, Kaneta Kimotsuki, Michiko Nomura | 15 | 0.1% |
| Liam Neeson, Ewan McGregor, Natalie Portman, Jake Lloyd | 12 | 0.1% |
| Inés Sainz, Luis Ernesto Franco, Rafinha Bastos, Tiki Barber | 9 | 0.1% |
| Priyanka Chopra, Shah Rukh Khan, Isha Koppikar, Arjun Rampal | 8 | 0.1% |
| Yumi Kakazu, Subaru Kimura, Wasabi Mizuta, Megumi Ohara | 8 | 0.1% |
| You, Azusa Babazono, Yoshimi Tokui, Reina Triendl | 6 | < 0.1% |
| Dale Dickey, William Sterchi, Chris Pine, Ben Foster | 6 | < 0.1% |
| Sophia Lillis, Finn Wolfhard, Jaeden Martell, Jeremy Ray Taylor | 6 | < 0.1% |
| Robert Wagner, Michael York, Mike Myers, Heather Graham | 5 | < 0.1% |
| Jeff Dunham | 5 | < 0.1% |
| Other values (12924) | 13475 | |
| (Missing) | 1925 | 12.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| lee | 516 | 0.5% |
| michael | 503 | 0.5% |
| john | 478 | 0.5% |
| kim | 466 | 0.4% |
| david | 372 | 0.4% |
| james | 309 | 0.3% |
| de | 263 | 0.2% |
| robert | 255 | 0.2% |
| tom | 239 | 0.2% |
| paul | 229 | 0.2% |
| Other values (27609) | 101980 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 28 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 7024 |
| Missing (%) | 45.4% |
| Memory size | 121.1 KiB |
| R | |
|---|---|
| PG-13 | |
| Not Rated | |
| TV-MA | |
| TV-14 | |
| Other values (23) |
Length
| Max length | 9 |
|---|---|
| Median length | 5 |
| Mean length | 4.353122044 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 8 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | R |
|---|---|
| 2nd row | R |
| 3rd row | Unrated |
| 4th row | PG-13 |
| 5th row | R |
Common Values
| Value | Count | Frequency (%) |
| R | 2096 | 13.5% |
| PG-13 | 1373 | 8.9% |
| Not Rated | 1320 | 8.5% |
| TV-MA | 1136 | 7.3% |
| TV-14 | 798 | 5.2% |
| PG | 657 | 4.2% |
| TV-PG | 331 | 2.1% |
| TV-Y | 146 | 0.9% |
| TV-Y7 | 130 | 0.8% |
| G | 126 | 0.8% |
| Other values (18) | 343 | 2.2% |
| (Missing) | 7024 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| r | 2096 | |
| pg-13 | 1373 | |
| not | 1322 | |
| rated | 1322 | |
| tv-ma | 1136 | |
| tv-14 | 798 | 8.2% |
| pg | 657 | 6.7% |
| tv-pg | 331 | 3.4% |
| tv-y | 146 | 1.5% |
| tv-y7 | 130 | 1.3% |
| Other values (17) | 467 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 83 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 2099 |
| Missing (%) | 13.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.496054107 |
| Minimum | 1 |
|---|---|
| Maximum | 9.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4.4 |
| Q1 | 5.8 |
| median | 6.6 |
| Q3 | 7.3 |
| 95-th percentile | 8.2 |
| Maximum | 9.7 |
| Range | 8.7 |
| Interquartile range (IQR) | 1.5 |
Descriptive statistics
| Standard deviation | 1.14690953 |
|---|---|
| Coefficient of variation (CV) | 0.1765547994 |
| Kurtosis | 0.6139261938 |
| Mean | 6.496054107 |
| Median Absolute Deviation (MAD) | 0.7 |
| Skewness | -0.6039032221 |
| Sum | 86923.7 |
| Variance | 1.315401469 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6.5 | 508 | 3.3% |
| 6.6 | 507 | 3.3% |
| 6.8 | 504 | 3.3% |
| 6.3 | 498 | 3.2% |
| 6.4 | 493 | 3.2% |
| 7.1 | 490 | 3.2% |
| 7 | 478 | 3.1% |
| 7.2 | 468 | 3.0% |
| 6.7 | 447 | 2.9% |
| 7.3 | 446 | 2.9% |
| Other values (73) | 8542 | |
| (Missing) | 2099 | 13.6% |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 1.4 | 3 | |
| 1.5 | 1 | < 0.1% |
| 1.6 | 2 | |
| 1.7 | 3 | |
| 1.9 | 3 | |
| 2 | 4 | |
| 2.1 | 3 | |
| 2.2 | 4 | |
| 2.3 | 4 |
| Value | Count | Frequency (%) |
| 9.7 | 1 | < 0.1% |
| 9.5 | 3 | < 0.1% |
| 9.4 | 1 | < 0.1% |
| 9.3 | 2 | < 0.1% |
| 9.2 | 6 | < 0.1% |
| 9.1 | 11 | 0.1% |
| 9 | 15 | 0.1% |
| 8.9 | 20 | 0.1% |
| 8.8 | 27 | |
| 8.7 | 54 |
Rotten Tomatoes Score
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 101 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 9098 |
| Missing (%) | 58.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59.52303353 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 76 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 12 |
| Q1 | 38 |
| median | 64 |
| Q3 | 83 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 45 |
Descriptive statistics
| Standard deviation | 26.99917321 |
|---|---|
| Coefficient of variation (CV) | 0.4535920233 |
| Kurtosis | -0.9789977126 |
| Mean | 59.52303353 |
| Median Absolute Deviation (MAD) | 21 |
| Skewness | -0.36328062 |
| Sum | 379876 |
| Variance | 728.955354 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100 | 193 | 1.2% |
| 80 | 138 | 0.9% |
| 67 | 133 | 0.9% |
| 50 | 119 | 0.8% |
| 92 | 114 | 0.7% |
| 89 | 111 | 0.7% |
| 83 | 109 | 0.7% |
| 60 | 105 | 0.7% |
| 75 | 104 | 0.7% |
| 91 | 102 | 0.7% |
| Other values (91) | 5154 | |
| (Missing) | 9098 |
| Value | Count | Frequency (%) |
| 0 | 76 | |
| 1 | 4 | < 0.1% |
| 2 | 2 | < 0.1% |
| 3 | 8 | 0.1% |
| 4 | 21 | 0.1% |
| 5 | 10 | 0.1% |
| 6 | 12 | 0.1% |
| 7 | 24 | 0.2% |
| 8 | 35 | |
| 9 | 24 | 0.2% |
| Value | Count | Frequency (%) |
| 100 | 193 | |
| 99 | 20 | 0.1% |
| 98 | 49 | 0.3% |
| 97 | 73 | 0.5% |
| 96 | 76 | 0.5% |
| 95 | 67 | 0.4% |
| 94 | 61 | 0.4% |
| 93 | 93 | |
| 92 | 114 | |
| 91 | 102 |
Metacritic Score
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 95 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 11144 |
| Missing (%) | 72.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 56.81365314 |
| Minimum | 5 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 27 |
| Q1 | 44 |
| median | 57 |
| Q3 | 70 |
| 95-th percentile | 85 |
| Maximum | 100 |
| Range | 95 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 17.58254503 |
|---|---|
| Coefficient of variation (CV) | 0.3094774593 |
| Kurtosis | -0.5534176276 |
| Mean | 56.81365314 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.1173524093 |
| Sum | 246344 |
| Variance | 309.1458897 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 51 | 109 | 0.7% |
| 66 | 104 | 0.7% |
| 68 | 99 | 0.6% |
| 63 | 97 | 0.6% |
| 65 | 95 | 0.6% |
| 55 | 94 | 0.6% |
| 69 | 91 | 0.6% |
| 52 | 89 | 0.6% |
| 58 | 88 | 0.6% |
| 56 | 88 | 0.6% |
| Other values (85) | 3382 | 21.8% |
| (Missing) | 11144 |
| Value | Count | Frequency (%) |
| 5 | 1 | < 0.1% |
| 6 | 1 | < 0.1% |
| 8 | 1 | < 0.1% |
| 9 | 2 | |
| 10 | 1 | < 0.1% |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 4 |
| Value | Count | Frequency (%) |
| 100 | 3 | < 0.1% |
| 99 | 3 | < 0.1% |
| 98 | 2 | < 0.1% |
| 97 | 5 | < 0.1% |
| 96 | 9 | |
| 95 | 6 | < 0.1% |
| 94 | 19 | |
| 93 | 6 | < 0.1% |
| 92 | 9 | |
| 91 | 10 |
Awards Received
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 130 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 9405 |
| Missing (%) | 60.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.764444444 |
| Minimum | 1 |
|---|---|
| Maximum | 300 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 3 |
| Q3 | 8 |
| 95-th percentile | 34 |
| Maximum | 300 |
| Range | 299 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 18.31117053 |
|---|---|
| Coefficient of variation (CV) | 2.089256272 |
| Kurtosis | 58.12545208 |
| Mean | 8.764444444 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 6.32606687 |
| Sum | 53244 |
| Variance | 335.2989661 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1692 | 10.9% |
| 2 | 964 | 6.2% |
| 3 | 584 | 3.8% |
| 4 | 463 | 3.0% |
| 5 | 308 | 2.0% |
| 6 | 234 | 1.5% |
| 7 | 195 | 1.3% |
| 8 | 180 | 1.2% |
| 10 | 125 | 0.8% |
| 9 | 124 | 0.8% |
| Other values (120) | 1206 | 7.8% |
| (Missing) | 9405 |
| Value | Count | Frequency (%) |
| 1 | 1692 | |
| 2 | 964 | |
| 3 | 584 | 3.8% |
| 4 | 463 | 3.0% |
| 5 | 308 | 2.0% |
| 6 | 234 | 1.5% |
| 7 | 195 | 1.3% |
| 8 | 180 | 1.2% |
| 9 | 124 | 0.8% |
| 10 | 125 | 0.8% |
| Value | Count | Frequency (%) |
| 300 | 1 | |
| 251 | 1 | |
| 242 | 2 | |
| 241 | 1 | |
| 239 | 1 | |
| 232 | 1 | |
| 229 | 1 | |
| 210 | 1 | |
| 194 | 1 | |
| 173 | 1 |
Awards Nominated For
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 200 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 7819 |
| Missing (%) | 50.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.98316147 |
| Minimum | 1 |
|---|---|
| Maximum | 386 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 5 |
| Q3 | 12 |
| 95-th percentile | 58 |
| Maximum | 386 |
| Range | 385 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 29.82105208 |
|---|---|
| Coefficient of variation (CV) | 2.132640187 |
| Kurtosis | 38.0319432 |
| Mean | 13.98316147 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 5.38957866 |
| Sum | 107125 |
| Variance | 889.2951472 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1525 | 9.9% |
| 2 | 942 | 6.1% |
| 3 | 680 | 4.4% |
| 4 | 518 | 3.3% |
| 5 | 458 | 3.0% |
| 6 | 329 | 2.1% |
| 7 | 327 | 2.1% |
| 8 | 287 | 1.9% |
| 9 | 217 | 1.4% |
| 10 | 187 | 1.2% |
| Other values (190) | 2191 | 14.2% |
| (Missing) | 7819 |
| Value | Count | Frequency (%) |
| 1 | 1525 | |
| 2 | 942 | |
| 3 | 680 | |
| 4 | 518 | 3.3% |
| 5 | 458 | 3.0% |
| 6 | 329 | 2.1% |
| 7 | 327 | 2.1% |
| 8 | 287 | 1.9% |
| 9 | 217 | 1.4% |
| 10 | 187 | 1.2% |
| Value | Count | Frequency (%) |
| 386 | 1 | |
| 383 | 1 | |
| 355 | 1 | |
| 345 | 1 | |
| 335 | 1 | |
| 334 | 1 | |
| 317 | 1 | |
| 313 | 1 | |
| 290 | 2 | |
| 281 | 1 |
| Distinct | 3836 |
|---|---|
| Distinct (%) | 95.7% |
| Missing | 11473 |
| Missing (%) | 74.1% |
| Memory size | 121.1 KiB |
| $474,544,677 | 12 |
|---|---|
| $509 | 9 |
| $2,223,961 | 8 |
| $27,007,844 | 6 |
| $328,828,874 | 6 |
| Other values (3831) |
Length
| Max length | 12 |
|---|---|
| Median length | 11 |
| Mean length | 10.05016222 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3713 ? |
|---|---|
| Unique (%) | 92.7% |
Sample
| 1st row | $2,122,065 |
|---|---|
| 2nd row | $70,632 |
| 3rd row | $16,263 |
| 4th row | $20,578,909 |
| 5th row | $335,451,311 |
Common Values
| Value | Count | Frequency (%) |
| $474,544,677 | 12 | 0.1% |
| $509 | 9 | 0.1% |
| $2,223,961 | 8 | 0.1% |
| $27,007,844 | 6 | < 0.1% |
| $328,828,874 | 6 | < 0.1% |
| $206,040,086 | 5 | < 0.1% |
| $6,738,000 | 4 | < 0.1% |
| $10,452 | 3 | < 0.1% |
| $205,881,154 | 3 | < 0.1% |
| $202,359,711 | 3 | < 0.1% |
| Other values (3826) | 3948 | 25.5% |
| (Missing) | 11473 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 474,544,677 | 12 | 0.3% |
| 509 | 9 | 0.2% |
| 2,223,961 | 8 | 0.2% |
| 27,007,844 | 6 | 0.1% |
| 328,828,874 | 6 | 0.1% |
| 206,040,086 | 5 | 0.1% |
| 6,738,000 | 4 | 0.1% |
| 90,380,162 | 3 | 0.1% |
| 31,424,003 | 3 | 0.1% |
| 249,083 | 3 | 0.1% |
| Other values (3826) | 3948 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5314 |
|---|---|
| Distinct (%) | 39.7% |
| Missing | 2107 |
| Missing (%) | 13.6% |
| Memory size | 121.1 KiB |
| 21 Sep 2018 | 24 |
|---|---|
| 12 Oct 2018 | 24 |
| 01 Sep 2017 | 24 |
| 12 Apr 2019 | 23 |
| 04 Aug 2017 | 23 |
| Other values (5309) |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 11 |
| Min length | 11 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2692 ? |
|---|---|
| Unique (%) | 20.1% |
Sample
| 1st row | 12 Dec 2008 |
|---|---|
| 2nd row | 08 May 2020 |
| 3rd row | 28 Aug 2020 |
| 4th row | 01 Oct 2016 |
| 5th row | 22 Sep 2011 |
Common Values
| Value | Count | Frequency (%) |
| 21 Sep 2018 | 24 | 0.2% |
| 12 Oct 2018 | 24 | 0.2% |
| 01 Sep 2017 | 24 | 0.2% |
| 12 Apr 2019 | 23 | 0.1% |
| 04 Aug 2017 | 23 | 0.1% |
| 28 Sep 2018 | 23 | 0.1% |
| 08 Sep 2017 | 23 | 0.1% |
| 06 Apr 2018 | 23 | 0.1% |
| 29 Sep 2017 | 22 | 0.1% |
| 14 Sep 2018 | 22 | 0.1% |
| Other values (5304) | 13142 | |
| (Missing) | 2107 | 13.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2018 | 1495 | 3.7% |
| 2017 | 1408 | 3.5% |
| oct | 1400 | 3.5% |
| 2019 | 1330 | 3.3% |
| sep | 1266 | 3.2% |
| nov | 1192 | 3.0% |
| dec | 1150 | 2.9% |
| jan | 1129 | 2.8% |
| mar | 1112 | 2.8% |
| apr | 1109 | 2.8% |
| Other values (138) | 27528 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1823 |
|---|---|
| Distinct (%) | 11.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 121.1 KiB |
| 2015-04-14 | |
|---|---|
| 2020-12-12 | 159 |
| 2015-09-01 | 154 |
| 2018-10-01 | 136 |
| 2020-11-27 | 114 |
| Other values (1818) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 359 ? |
|---|---|
| Unique (%) | 2.3% |
Sample
| 1st row | 2021-03-04 |
|---|---|
| 2nd row | 2021-03-04 |
| 3rd row | 2021-03-04 |
| 4th row | 2021-03-04 |
| 5th row | 2021-03-04 |
Common Values
| Value | Count | Frequency (%) |
| 2015-04-14 | 2407 | 15.5% |
| 2020-12-12 | 159 | 1.0% |
| 2015-09-01 | 154 | 1.0% |
| 2018-10-01 | 136 | 0.9% |
| 2020-11-27 | 114 | 0.7% |
| 2020-09-05 | 112 | 0.7% |
| 2020-11-29 | 82 | 0.5% |
| 2017-12-29 | 64 | 0.4% |
| 2017-04-01 | 64 | 0.4% |
| 2016-10-01 | 64 | 0.4% |
| Other values (1813) | 12124 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2015-04-14 | 2407 | 15.5% |
| 2020-12-12 | 159 | 1.0% |
| 2015-09-01 | 154 | 1.0% |
| 2018-10-01 | 136 | 0.9% |
| 2020-11-27 | 114 | 0.7% |
| 2020-09-05 | 112 | 0.7% |
| 2020-11-29 | 82 | 0.5% |
| 2017-12-29 | 64 | 0.4% |
| 2017-04-01 | 64 | 0.4% |
| 2016-10-01 | 64 | 0.4% |
| Other values (1813) | 12124 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3814 |
|---|---|
| Distinct (%) | 74.1% |
| Missing | 10331 |
| Missing (%) | 66.7% |
| Memory size | 121.1 KiB |
| Netflix | 82 |
|---|---|
| Paramount Pictures | 51 |
| Universal Pictures | 32 |
| Columbia Pictures Corporation | 30 |
| Working Title Films | 22 |
| Other values (3809) |
Length
| Max length | 458 |
|---|---|
| Median length | 28 |
| Mean length | 35.78772577 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3317 ? |
|---|---|
| Unique (%) | 64.4% |
Sample
| 1st row | Canal+, Sandrew Metronome |
|---|---|
| 2nd row | Film 4, Monumental Pictures, Lionsgate |
| 3rd row | Touchstone Pictures, Spyglass Entertainment |
| 4th row | Svensk Filmindustri, Svenska Filminstitutet |
| 5th row | Bron Studios, Creative Wealth Media Finance, DC Comics |
Common Values
| Value | Count | Frequency (%) |
| Netflix | 82 | 0.5% |
| Paramount Pictures | 51 | 0.3% |
| Universal Pictures | 32 | 0.2% |
| Columbia Pictures Corporation | 30 | 0.2% |
| Working Title Films | 22 | 0.1% |
| Toho Company Ltd. | 20 | 0.1% |
| Warner Brothers | 19 | 0.1% |
| TriStar Pictures | 19 | 0.1% |
| Warner Brothers/Seven Arts | 18 | 0.1% |
| Paramount | 17 | 0.1% |
| Other values (3804) | 4839 | |
| (Missing) | 10331 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| pictures | 1591 | 6.7% |
| films | 1436 | 6.1% |
| entertainment | 1218 | 5.1% |
| productions | 1012 | 4.3% |
| film | 628 | 2.6% |
| company | 255 | 1.1% |
| warner | 227 | 1.0% |
| media | 222 | 0.9% |
| paramount | 186 | 0.8% |
| studios | 182 | 0.8% |
| Other values (4113) | 16744 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 15480 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 121.1 KiB |
| https://www.netflix.com/watch/81415947 | 1 |
|---|---|
| https://www.netflix.com/watch/80159732 | 1 |
| https://www.netflix.com/watch/80153272 | 1 |
| https://www.netflix.com/watch/80156916 | 1 |
| https://www.netflix.com/watch/80058398 | 1 |
| Other values (15475) |
Length
| Max length | 38 |
|---|---|
| Median length | 38 |
| Mean length | 37.96802326 |
| Min length | 36 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 15480 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | https://www.netflix.com/watch/81415947 |
|---|---|
| 2nd row | https://www.netflix.com/watch/81041267 |
| 3rd row | https://www.netflix.com/watch/81305978 |
| 4th row | https://www.netflix.com/watch/81336456 |
| 5th row | https://www.netflix.com/watch/81078393 |
Common Values
| Value | Count | Frequency (%) |
| https://www.netflix.com/watch/81415947 | 1 | < 0.1% |
| https://www.netflix.com/watch/80159732 | 1 | < 0.1% |
| https://www.netflix.com/watch/80153272 | 1 | < 0.1% |
| https://www.netflix.com/watch/80156916 | 1 | < 0.1% |
| https://www.netflix.com/watch/80058398 | 1 | < 0.1% |
| https://www.netflix.com/watch/80100937 | 1 | < 0.1% |
| https://www.netflix.com/watch/80119145 | 1 | < 0.1% |
| https://www.netflix.com/watch/80081863 | 1 | < 0.1% |
| https://www.netflix.com/watch/80155906 | 1 | < 0.1% |
| https://www.netflix.com/watch/80095299 | 1 | < 0.1% |
| Other values (15470) | 15470 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://www.netflix.com/watch/81415947 | 1 | < 0.1% |
| https://www.netflix.com/watch/80198725 | 1 | < 0.1% |
| https://www.netflix.com/watch/70023084 | 1 | < 0.1% |
| https://www.netflix.com/watch/81382065 | 1 | < 0.1% |
| https://www.netflix.com/watch/81305978 | 1 | < 0.1% |
| https://www.netflix.com/watch/81336456 | 1 | < 0.1% |
| https://www.netflix.com/watch/81078393 | 1 | < 0.1% |
| https://www.netflix.com/watch/81306155 | 1 | < 0.1% |
| https://www.netflix.com/watch/81307527 | 1 | < 0.1% |
| https://www.netflix.com/watch/81307482 | 1 | < 0.1% |
| Other values (15470) | 15470 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12847 |
|---|---|
| Distinct (%) | 97.5% |
| Missing | 2303 |
| Missing (%) | 14.9% |
| Memory size | 121.1 KiB |
| https://www.imdb.com/title/tt0120915 | 12 |
|---|---|
| https://www.imdb.com/title/tt5607970 | 9 |
| https://www.imdb.com/title/tt0461936 | 8 |
| https://www.imdb.com/title/tt1396484 | 6 |
| https://www.imdb.com/title/tt2582782 | 6 |
| Other values (12842) |
Length
| Max length | 37 |
|---|---|
| Median length | 36 |
| Mean length | 36.07171587 |
| Min length | 36 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 12576 ? |
|---|---|
| Unique (%) | 95.4% |
Sample
| 1st row | https://www.imdb.com/title/tt1139797 |
|---|---|
| 2nd row | https://www.imdb.com/title/tt4193072 |
| 3rd row | https://www.imdb.com/title/tt8945942 |
| 4th row | https://www.imdb.com/title/tt6132758 |
| 5th row | https://www.imdb.com/title/tt2023611 |
Common Values
| Value | Count | Frequency (%) |
| https://www.imdb.com/title/tt0120915 | 12 | 0.1% |
| https://www.imdb.com/title/tt5607970 | 9 | 0.1% |
| https://www.imdb.com/title/tt0461936 | 8 | 0.1% |
| https://www.imdb.com/title/tt1396484 | 6 | < 0.1% |
| https://www.imdb.com/title/tt2582782 | 6 | < 0.1% |
| https://www.imdb.com/title/tt2095684 | 5 | < 0.1% |
| https://www.imdb.com/title/tt0145660 | 5 | < 0.1% |
| https://www.imdb.com/title/tt2631186 | 4 | < 0.1% |
| https://www.imdb.com/title/tt1877368 | 4 | < 0.1% |
| https://www.imdb.com/title/tt7335184 | 4 | < 0.1% |
| Other values (12837) | 13114 | |
| (Missing) | 2303 | 14.9% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://www.imdb.com/title/tt0120915 | 12 | 0.1% |
| https://www.imdb.com/title/tt5607970 | 9 | 0.1% |
| https://www.imdb.com/title/tt0461936 | 8 | 0.1% |
| https://www.imdb.com/title/tt1396484 | 6 | < 0.1% |
| https://www.imdb.com/title/tt2582782 | 6 | < 0.1% |
| https://www.imdb.com/title/tt2095684 | 5 | < 0.1% |
| https://www.imdb.com/title/tt0145660 | 5 | < 0.1% |
| https://www.imdb.com/title/tt7335184 | 4 | < 0.1% |
| https://www.imdb.com/title/tt1877368 | 4 | < 0.1% |
| https://www.imdb.com/title/tt2631186 | 4 | < 0.1% |
| Other values (12837) | 13114 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 15449 |
|---|---|
| Distinct (%) | 99.9% |
| Missing | 9 |
| Missing (%) | 0.1% |
| Memory size | 121.1 KiB |
| A surly septuagenarian gets another chance at her 20s after having her photo snapped at a studio that magically takes 50 years off her life. | 3 |
|---|---|
| During the late Eastern Han Dynasty, power, intrigue and military ambition collide as rulers, generals and court officials vie for dominance. | 2 |
| In 1947 Los Angeles, the disappearance of four men, including his own detective, leads a police captain to a cavern where an eerie discovery awaits. | 2 |
| Young trainer Ash and his new friend Goh become research fellows at Professor Cerises laboratory, traveling all over the world to learn about Pokémon. | 2 |
| As a woman scours Hyderabad for her missing husband, she becomes entangled in a conspiracy that suggests there’s more to the mystery than meets the eye. | 2 |
| Other values (15444) |
Length
| Max length | 250 |
|---|---|
| Median length | 145 |
| Mean length | 143.2488527 |
| Min length | 25 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 15428 ? |
|---|---|
| Unique (%) | 99.7% |
Sample
| 1st row | A med student with a supernatural gift tries to cash in on his abilities by facing off against ghosts, till a wandering spirit brings romance instead. |
|---|---|
| 2nd row | When nerdy Johanna moves to London, things get out of hand when she reinvents herself as a bad-mouthed music critic to save her poverty-stricken family. |
| 3rd row | Trapped in a frozen car during a blizzard, a pregnant woman and her husband fight to survive while the temperatures plummet. Inspired by a true story. |
| 4th row | Upon moving into a new place, a 20-something runs into a former flame that triggers memories of past relationships since their split four years ago. |
| 5th row | Inspired by her moms rebellious past and a confident new friend, a shy 16-year-old publishes an anonymous zine calling out sexism at her school. |
Common Values
| Value | Count | Frequency (%) |
| A surly septuagenarian gets another chance at her 20s after having her photo snapped at a studio that magically takes 50 years off her life. | 3 | < 0.1% |
| During the late Eastern Han Dynasty, power, intrigue and military ambition collide as rulers, generals and court officials vie for dominance. | 2 | < 0.1% |
| In 1947 Los Angeles, the disappearance of four men, including his own detective, leads a police captain to a cavern where an eerie discovery awaits. | 2 | < 0.1% |
| Young trainer Ash and his new friend Goh become research fellows at Professor Cerises laboratory, traveling all over the world to learn about Pokémon. | 2 | < 0.1% |
| As a woman scours Hyderabad for her missing husband, she becomes entangled in a conspiracy that suggests there’s more to the mystery than meets the eye. | 2 | < 0.1% |
| As a series of murders hit close to home, a video game designer with post-traumatic stress must confront her demons, or risk becoming their victim. | 2 | < 0.1% |
| Working out is easy when youre having fun! Sing and dance along with Pinkfong, Baby Shark and friends to stay healthy and strong. | 2 | < 0.1% |
| As a blind librarian, dispirited cricketer and desolate psychiatrist each seek retribution and release, their lives overlap under eerie influences. | 2 | < 0.1% |
| After learning of a deadly terrorist threat in London, Alice Racine returns to her job at the CIA only to find the agency may have been compromised. | 2 | < 0.1% |
| In this animated sequel, poachers separate leatherback turtle pals Sammy and Ray, shipping them off for display in an aquarium show. | 2 | < 0.1% |
| Other values (15439) | 15450 | |
| (Missing) | 9 | 0.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| a | 21915 | 5.9% |
| the | 14312 | 3.8% |
| to | 11710 | 3.1% |
| and | 10375 | 2.8% |
| of | 9052 | 2.4% |
| in | 7586 | 2.0% |
| his | 6426 | 1.7% |
| with | 4117 | 1.1% |
| her | 4013 | 1.1% |
| an | 3631 | 1.0% |
| Other values (28312) | 280671 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7886 |
|---|---|
| Distinct (%) | 58.9% |
| Missing | 2101 |
| Missing (%) | 13.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 42728.41162 |
| Minimum | 5 |
|---|---|
| Maximum | 2354197 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 121.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 403.5 |
| median | 2322 |
| Q3 | 20890.5 |
| 95-th percentile | 228939.3 |
| Maximum | 2354197 |
| Range | 2354192 |
| Interquartile range (IQR) | 20487 |
Descriptive statistics
| Standard deviation | 125701.1913 |
|---|---|
| Coefficient of variation (CV) | 2.941864361 |
| Kurtosis | 65.0682076 |
| Mean | 42728.41162 |
| Median Absolute Deviation (MAD) | 2245 |
| Skewness | 6.590562469 |
| Sum | 571663419 |
| Variance | 1.58007895 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7 | 50 | 0.3% |
| 10 | 38 | 0.2% |
| 8 | 36 | 0.2% |
| 9 | 30 | 0.2% |
| 6 | 27 | 0.2% |
| 14 | 27 | 0.2% |
| 24 | 26 | 0.2% |
| 15 | 25 | 0.2% |
| 5 | 23 | 0.1% |
| 39 | 23 | 0.1% |
| Other values (7876) | 13074 | |
| (Missing) | 2101 | 13.6% |
| Value | Count | Frequency (%) |
| 5 | 23 | |
| 6 | 27 | |
| 7 | 50 | |
| 8 | 36 | |
| 9 | 30 | |
| 10 | 38 | |
| 11 | 22 | |
| 12 | 20 | 0.1% |
| 13 | 18 | 0.1% |
| 14 | 27 |
| Value | Count | Frequency (%) |
| 2354197 | 1 | |
| 2308981 | 1 | |
| 2072912 | 1 | |
| 1831004 | 2 | |
| 1814709 | 1 | |
| 1684368 | 1 | |
| 1664865 | 1 | |
| 1645871 | 1 | |
| 1625286 | 1 | |
| 1522306 | 1 |
| Distinct | 15479 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 121.1 KiB |
| https://occ-0-37-33.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABTdjKHUl3EC8ls7S_E_bZ5_Bdt49mC8AJYXU93Pdrk5ume73IOFRwrlvxpdJjj9fLAwtyxVtmzgxo2XJ_wUWgGD1uJH9JvxSqcs6fHwD4AWDdf2HKjrevBPObO0.jpg?r=647 | 2 |
|---|---|
| https://occ-0-4708-64.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABcmgLCxN8dNahdY2kgd1hhcL2a6XrE92x24Bx5h6JFUvH5zMrv6lFWl_aWMt33b6DHvkgsUeDx_8Q1rmopwT3fuF8Rq3S1hrkvFf3uzVv2sb3zrtU-LM1Zy1FfrAKD3nKNyA_RQWrmw.jpg?r=cd0 | 1 |
| http://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABSGwADw1yxp0lKCTdWgbz-vh0aR7cIpUrLC22T376-6gIJpiRw8Cd6ChMzHPEq0lb8aznptdcpqarSvWgAnLHECqYUy1Bbe6gJ96HEbMKmNyZx-SiCbzblV3D2Q.jpg?r=176 | 1 |
| https://occ-0-1007-1360.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABUs-fLPuB5GJoa7oNOmPrYyPAAix-1S7LpRwEt1YH0gUiC4ksTAkIyPe_ph8SRuJw8MKN7JpOaYe0uvhgFPuU47Eeg.jpg?r=22f | 1 |
| http://occ-0-753-1360.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABZHPuEk5silx340bPGjrc4YEz47Z--Jk6F-H_qyIfZeNOk8uMatZz9Oih3jNNI_YsyAX7DkMKe6OxkAN5khF4a0uAQ.jpg?r=909 | 1 |
| Other values (15474) |
Length
| Max length | 305 |
|---|---|
| Median length | 179 |
| Mean length | 181.0175711 |
| Min length | 45 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 15478 ? |
|---|---|
| Unique (%) | > 99.9% |
Sample
| 1st row | https://occ-0-4708-64.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABcmgLCxN8dNahdY2kgd1hhcL2a6XrE92x24Bx5h6JFUvH5zMrv6lFWl_aWMt33b6DHvkgsUeDx_8Q1rmopwT3fuF8Rq3S1hrkvFf3uzVv2sb3zrtU-LM1Zy1FfrAKD3nKNyA_RQWrmw.jpg?r=cd0 |
|---|---|
| 2nd row | https://occ-0-1081-999.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABe_fxMSBM1E-sSoszr12SmkI-498sqBWrEyhkchdn4UklQVjdoPS_Hj-NhvgbePvwlDSzMTcrIE0kgiy-zTEU_EaGg.jpg?r=35a |
| 3rd row | https://occ-0-1081-999.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABW-fG-2_s3pGsBdbw4nLCWENcRKL2Ngj7Kv5_QQVgZ--GT8eg-BlyJZM9ZaAg5kAYHefo77975PKaTZ3Yza1zLQwgQ.jpg?r=66b |
| 4th row | https://occ-0-1489-1490.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABeq3p0f50KPNQTYmozdPUenqXI3bh6Hadry-yMpooR0_Hm2VzUqIzq1V7oihe9ImLxaZC72w9HttdBRoORQT-WVkaA.jpg?r=f82 |
| 5th row | https://occ-0-4039-1500.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABb72YCHDSHzrB8i5_iG56UFm-qV2bslRyMHIqZ4tmlIpeVtMsqAyUem6JAxXtV4Ec9jlA4EpTdf5tNX2ivyLUwmPy4d3xowFdJE63MPXbWu8kAnc-j9qhAZrmMI.jpg?r=fad |
Common Values
| Value | Count | Frequency (%) |
| https://occ-0-37-33.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABTdjKHUl3EC8ls7S_E_bZ5_Bdt49mC8AJYXU93Pdrk5ume73IOFRwrlvxpdJjj9fLAwtyxVtmzgxo2XJ_wUWgGD1uJH9JvxSqcs6fHwD4AWDdf2HKjrevBPObO0.jpg?r=647 | 2 | < 0.1% |
| https://occ-0-4708-64.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABcmgLCxN8dNahdY2kgd1hhcL2a6XrE92x24Bx5h6JFUvH5zMrv6lFWl_aWMt33b6DHvkgsUeDx_8Q1rmopwT3fuF8Rq3S1hrkvFf3uzVv2sb3zrtU-LM1Zy1FfrAKD3nKNyA_RQWrmw.jpg?r=cd0 | 1 | < 0.1% |
| http://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABSGwADw1yxp0lKCTdWgbz-vh0aR7cIpUrLC22T376-6gIJpiRw8Cd6ChMzHPEq0lb8aznptdcpqarSvWgAnLHECqYUy1Bbe6gJ96HEbMKmNyZx-SiCbzblV3D2Q.jpg?r=176 | 1 | < 0.1% |
| https://occ-0-1007-1360.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABUs-fLPuB5GJoa7oNOmPrYyPAAix-1S7LpRwEt1YH0gUiC4ksTAkIyPe_ph8SRuJw8MKN7JpOaYe0uvhgFPuU47Eeg.jpg?r=22f | 1 | < 0.1% |
| http://occ-0-753-1360.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABZHPuEk5silx340bPGjrc4YEz47Z--Jk6F-H_qyIfZeNOk8uMatZz9Oih3jNNI_YsyAX7DkMKe6OxkAN5khF4a0uAQ.jpg?r=909 | 1 | < 0.1% |
| https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABe8bEkshp64gPwkHTVwtQofiD29Q3JzxaZuDyfslaBaRy_qw2WZJS_dGB0zIrNEkyehws8ff_0QWJe-RRUnurQd4tYzAGkYDgSjYfOZSTIgB5uTBG0EnJFRZ5kE.jpg?r=531 | 1 | < 0.1% |
| https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABalVDDnsficTxZuKZ24XowLBEG2YqcEJolM6QgtHErmJXc8mbMFu14qvH2DZbEz5-8NfMiZ7Q8kdlLK-aB4tLzOlag.jpg?r=f0f | 1 | < 0.1% |
| https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABQ2oGp8N_CmVIAmsHjhhzuq2Rdx9Qli9em2f58vkpEXjIv9AaB2jnS8n1Feey7ynUmzocUn80zbRoRq5Idsk6ciZ7W2yqY9ru4JUyE_VCoir_aVrX4iMC9Bm09o.jpg?r=d63 | 1 | < 0.1% |
| https://occ-0-987-116.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABXMHgCtWWN2xXkkvXKT2OQVczs4rkZ8GhXml_56O9H5EzP9PPvLmpitKa_pW2sGPEzvAq_JcofASYQJXn4fc5pEXFex-yT2oJXCFA-toWeseJ3Wc0p5tAEomWgI.jpg?r=a25 | 1 | < 0.1% |
| https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABYKUeeTrFto83wzcYCpNCg5uEY-pmDYKmoeNsKFOqxoKru_pLN5q23Nr9XmAUqChqpg1Q6IYTZtJ1c4biD2tryglzQW6cITVg4MI3hxDSbb5eCNbZXhWdTZzprY.jpg?r=0bb | 1 | < 0.1% |
| Other values (15469) | 15469 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://occ-0-37-33.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabtdjkhul3ec8ls7s_e_bz5_bdt49mc8ajyxu93pdrk5ume73iofrwrlvxpdjjj9flawtyxvtmzgxo2xj_wuwggd1ujh9jvxsqcs6fhwd4awddf2hkjrevbpobo0.jpg?r=647 | 2 | < 0.1% |
| https://occ-0-270-2568.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabbyyfgcwhwpfpbfou02ac6uftzypmoueq076h6jlbbzsyp-ou4p1g1pqi7lowblvydgckme0ecwmr8smzxfp0p9uwg.jpg?r=85d | 1 | < 0.1% |
| https://occ-0-993-988.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabzvzi2om7uy20h0qvdfxbdvss4hhq55awlqepaduenfw3mce5boe8a7wbp48wtip71l2jj0l_62ly_di5gsgyit5ma.jpg?r=b29 | 1 | < 0.1% |
| https://occ-0-2851-41.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabvw0k_2t1gjtj0ysmsoglb6dxx9izzwmykxeyqfky_k8-rfsoxlnaixq2ylws_sutbraicjextuuodoodad-zmv7jw.jpg?r=4b1 | 1 | < 0.1% |
| https://occ-0-1081-999.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabw-fg-2_s3pgsbdbw4nlcwencrkl2ngj7kv5_qqvgz--gt8eg-blyjzm9zaag5kayhefo77975pkatz3yza1zlqwgq.jpg?r=66b | 1 | < 0.1% |
| https://occ-0-1489-1490.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabeq3p0f50kpnqtymozdpuenqxi3bh6hadry-ympoor0_hm2vzuqizq1v7oihe9imlxazc72w9httdbroorqt-wvkaa.jpg?r=f82 | 1 | < 0.1% |
| https://occ-0-4039-1500.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabb72ychdshzrb8i5_ig56ufm-qv2bslrymhiqz4tmlipevtmsqayuem6jaxxtv4ec9jla4eptdf5tnx2ivyluwmpy4d3xowfdje63mpxbwu8kanc-j9qhazrmmi.jpg?r=fad | 1 | < 0.1% |
| https://occ-0-2188-64.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabsj6td_whxb4en62ax5ekskml2ltzek5ccbhwbdjrgf6sojb4rtvolhpauweskuoxpiaafxu1qauzdtjguwnq9gsta.jpg?r=e76 | 1 | < 0.1% |
| https://occ-0-2508-2706.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabsxwh_awvjrqxwanpop86kfpu3kdpqx9rsdyzzghfpialsig2qhkazxm8vhkwr89-olh5xqzihj_5uzwnriady19nq.jpg?r=561 | 1 | < 0.1% |
| https://occ-0-2508-2706.1.nflxso.net/dnm/api/v6/evlcitjppcvcry0bzlefb5-qjkc/aaaabuoq8km0vplrak8dpkxjmwy28qjpsdg_wt1ee8bdybmk8x2453s0gquhgvvv-d0ot-yq6c07b31z2s-2messday1cq.jpg?r=666 | 1 | < 0.1% |
| Other values (15469) | 15469 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 11666 |
|---|---|
| Distinct (%) | 98.5% |
| Missing | 3638 |
| Missing (%) | 23.5% |
| Memory size | 121.1 KiB |
| https://m.media-amazon.com/images/M/MV5BYTRhNjcwNWQtMGJmMi00NmQyLWE2YzItODVmMTdjNWI0ZDA2XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_SX300.jpg | 11 |
|---|---|
| https://m.media-amazon.com/images/M/MV5BMzAyMWE0MjgtMDVjNS00ZDMyLWE4NjQtNWU2ZDgyYTlmMjdjXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_SX300.jpg | 8 |
| https://images-na.ssl-images-amazon.com/images/M/MV5BMjkxMjM5MTkzM15BMl5BanBnXkFtZTgwNDAwODIzMTI@._V1_SX300.jpg | 6 |
| https://m.media-amazon.com/images/M/MV5BMTg4NDA1OTA5NF5BMl5BanBnXkFtZTgwMDQ2MDM5ODE@._V1_SX300.jpg | 5 |
| https://m.media-amazon.com/images/M/MV5BZDVkZmI0YzAtNzdjYi00ZjhhLWE1ODEtMWMzMWMzNDA0NmQ4XkEyXkFqcGdeQXVyNzYzODM3Mzg@._V1_SX300.jpg | 5 |
| Other values (11661) |
Length
| Max length | 190 |
|---|---|
| Median length | 130 |
| Mean length | 124.1476102 |
| Min length | 92 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11531 ? |
|---|---|
| Unique (%) | 97.4% |
Sample
| 1st row | https://m.media-amazon.com/images/M/MV5BOWM4NTY2NTMtZDZlZS00NTgyLWEzZDMtODE3ZGI1MzI3ZmU5XkEyXkFqcGdeQXVyNzI1NzMxNzM@._V1_SX300.jpg |
|---|---|
| 2nd row | https://m.media-amazon.com/images/M/MV5BZGUyN2ZlMjYtZTk2Yy00MWZiLWIyMDktMzFlMmEzOWVlMGNiXkEyXkFqcGdeQXVyMTE1MzI2NzIz._V1_SX300.jpg |
| 3rd row | https://m.media-amazon.com/images/M/MV5BODM2MDQ5MjktYTM1ZS00Y2M4LTg0MDAtZjFjZDM1MDQxZGRmXkEyXkFqcGdeQXVyNDA1NDA2NTk@._V1_SX300.jpg |
| 4th row | https://m.media-amazon.com/images/M/MV5BNWRkMzdiYjgtOTA0Yi00NjZiLWFjZjMtYThlMTE5MWEwYWU4XkEyXkFqcGdeQXVyODY1MDkwOQ@@._V1_SX300.jpg |
| 5th row | https://m.media-amazon.com/images/M/MV5BODYyNWFjODYtYTU3NC00ZmM2LTk3YzEtZDQzZjU0YzZhMTkzXkEyXkFqcGdeQXVyMTE2NzYxNDcz._V1_SX300.jpg |
Common Values
| Value | Count | Frequency (%) |
| https://m.media-amazon.com/images/M/MV5BYTRhNjcwNWQtMGJmMi00NmQyLWE2YzItODVmMTdjNWI0ZDA2XkEyXkFqcGdeQXVyNTAyODkwOQ@@._V1_SX300.jpg | 11 | 0.1% |
| https://m.media-amazon.com/images/M/MV5BMzAyMWE0MjgtMDVjNS00ZDMyLWE4NjQtNWU2ZDgyYTlmMjdjXkEyXkFqcGdeQXVyNjQ2MjQ5NzM@._V1_SX300.jpg | 8 | 0.1% |
| https://images-na.ssl-images-amazon.com/images/M/MV5BMjkxMjM5MTkzM15BMl5BanBnXkFtZTgwNDAwODIzMTI@._V1_SX300.jpg | 6 | < 0.1% |
| https://m.media-amazon.com/images/M/MV5BMTg4NDA1OTA5NF5BMl5BanBnXkFtZTgwMDQ2MDM5ODE@._V1_SX300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/M/MV5BZDVkZmI0YzAtNzdjYi00ZjhhLWE1ODEtMWMzMWMzNDA0NmQ4XkEyXkFqcGdeQXVyNzYzODM3Mzg@._V1_SX300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/M/MV5BMjE4OTQyNzM0MV5BMl5BanBnXkFtZTgwOTU0MzgxMDE@._V1_SX300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/M/MV5BMmFkZGQxN2YtODNlYS00MzM5LTk3NjQtNTUxYmQ1YzkwMDhmXkEyXkFqcGdeQXVyMTQxNzMzNDI@._V1_SX300.jpg | 4 | < 0.1% |
| http://ia.media-imdb.com/images/M/MV5BMTc4OTE2MzQxOF5BMl5BanBnXkFtZTYwMTE1MDg4._V1_SX300.jpg | 3 | < 0.1% |
| https://m.media-amazon.com/images/M/MV5BMTU1Mzk2ODEzN15BMl5BanBnXkFtZTgwNDQwMjAxMTI@._V1_SX300.jpg | 3 | < 0.1% |
| http://ia.media-imdb.com/images/M/MV5BMTc5NDE1NzM5N15BMl5BanBnXkFtZTgwOTQxMDY4NjE@._V1_SX300.jpg | 3 | < 0.1% |
| Other values (11656) | 11789 | |
| (Missing) | 3638 | 23.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://m.media-amazon.com/images/m/mv5bytrhnjcwnwqtmgjmmi00nmqylwe2yzitodvmmtdjnwi0zda2xkeyxkfqcgdeqxvyntayodkwoq@@._v1_sx300.jpg | 11 | 0.1% |
| https://m.media-amazon.com/images/m/mv5bmzaymwe0mjgtmdvjns00zdmylwe4njqtnwu2zdgyytlmmjdjxkeyxkfqcgdeqxvynjq2mjq5nzm@._v1_sx300.jpg | 8 | 0.1% |
| https://images-na.ssl-images-amazon.com/images/m/mv5bmjkxmjm5mtkzm15bml5banbnxkftztgwndawodizmti@._v1_sx300.jpg | 6 | 0.1% |
| https://m.media-amazon.com/images/m/mv5bmtg4nda1ota5nf5bml5banbnxkftztgwmdq2mdm5ode@._v1_sx300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/m/mv5bzdvkzmi0yzatnzdjyi00zjhhlwe1odetmwmzmwmznda0nmq4xkeyxkfqcgdeqxvynzyzodm3mzg@._v1_sx300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/m/mv5bmje4otqynzm0mv5bml5banbnxkftztgwotu0mzgxmde@._v1_sx300.jpg | 5 | < 0.1% |
| https://m.media-amazon.com/images/m/mv5bmmfkzgqxn2ytodnlys00mzm5ltk3njqtntuxymq1yzkwmdhmxkeyxkfqcgdeqxvymtqxnzmzndi@._v1_sx300.jpg | 4 | < 0.1% |
| https://m.media-amazon.com/images/m/mv5bowm4nty2ntmtzdzlzs00ntgylwezzdmtode3zgi1mzi3zmu5xkeyxkfqcgdeqxvynzi1nzmxnzm@._v1_sx300.jpg | 3 | < 0.1% |
| https://m.media-amazon.com/images/m/mv5bzdhizjvlnjctmzq1my00m2qzltkznjutytk0ntdjnzmyzmzjxkeyxkfqcgdeqxvymjmzmdi1odi@._v1_sx300.jpg | 3 | < 0.1% |
| https://images-na.ssl-images-amazon.com/images/m/mv5bymrkngm0yjgtzdrhos00ymm5lwexmjitm2rjoda4njflyza5xkeyxkfqcgdeqxvymzc2mdg1otq@._v1_sx300.jpg | 3 | < 0.1% |
| Other values (11656) | 11789 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7040 |
|---|---|
| Distinct (%) | 97.9% |
| Missing | 8286 |
| Missing (%) | 53.5% |
| Memory size | 121.1 KiB |
| https://www.youtube.com/watch?v=bD7bpG-zDJQ | 8 |
|---|---|
| https://www.youtube.com/watch?v=SEJuBrGzPZ4 | 6 |
| https://www.youtube.com/watch?v=_cJRiAfr2PE | 6 |
| https://www.youtube.com/watch?v=xKJmEC5ieOk | 5 |
| https://www.youtube.com/watch?v=-Xa08bewnYI | 5 |
| Other values (7035) |
Length
| Max length | 43 |
|---|---|
| Median length | 43 |
| Mean length | 42.92118432 |
| Min length | 26 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6915 ? |
|---|---|
| Unique (%) | 96.1% |
Sample
| 1st row | https://www.youtube.com/watch?v=eIbcxPy4okQ |
|---|---|
| 2nd row | https://www.youtube.com/watch?v=0RvV7TNUlkQ |
| 3rd row | https://www.youtube.com/watch?v=md3CmFLGK6Y |
| 4th row | https://www.youtube.com/watch?v=yDB3Ha3vxyc |
| 5th row | https://www.youtube.com/watch?v=t433PEQGErc |
Common Values
| Value | Count | Frequency (%) |
| https://www.youtube.com/watch?v=bD7bpG-zDJQ | 8 | 0.1% |
| https://www.youtube.com/watch?v=SEJuBrGzPZ4 | 6 | < 0.1% |
| https://www.youtube.com/watch?v=_cJRiAfr2PE | 6 | < 0.1% |
| https://www.youtube.com/watch?v=xKJmEC5ieOk | 5 | < 0.1% |
| https://www.youtube.com/watch?v=-Xa08bewnYI | 5 | < 0.1% |
| https://www.youtube.com/watch?v=mYVb4OLk4NQ | 5 | < 0.1% |
| https://www.youtube.com/watch?v=3NQRhE772b0 | 4 | < 0.1% |
| https://www.youtube.com/watch?v=Q_LfR6mZ5o0 | 3 | < 0.1% |
| https://www.youtube.com/watch?v=LHrZxG9W3RI | 3 | < 0.1% |
| https://www.youtube.com/watch?v=-JZ_moituIo | 3 | < 0.1% |
| Other values (7030) | 7146 | |
| (Missing) | 8286 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://www.youtube.com/watch?v=bd7bpg-zdjq | 8 | 0.1% |
| https://www.youtube.com/watch?v=_cjriafr2pe | 6 | 0.1% |
| https://www.youtube.com/watch?v=sejubrgzpz4 | 6 | 0.1% |
| https://www.youtube.com/watch?v=xkjmec5ieok | 5 | 0.1% |
| https://www.youtube.com/watch?v=-xa08bewnyi | 5 | 0.1% |
| https://www.youtube.com/watch?v=myvb4olk4nq | 5 | 0.1% |
| https://www.youtube.com/watch?v=3nqrhe772b0 | 4 | 0.1% |
| https://www.youtube.com/watch?v=-jz_moituio | 3 | < 0.1% |
| https://www.youtube.com/watch?v=qd-6d8wo3do | 3 | < 0.1% |
| https://www.youtube.com/watch?v=lhrzxg9w3ri | 3 | < 0.1% |
| Other values (7030) | 7146 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 8286 |
| Missing (%) | 53.5% |
| Memory size | 121.1 KiB |
| YouTube | |
|---|---|
| Vimeo | 35 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.990269669 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | YouTube |
|---|---|
| 2nd row | YouTube |
| 3rd row | YouTube |
| 4th row | YouTube |
| 5th row | YouTube |
Common Values
| Value | Count | Frequency (%) |
| YouTube | 7159 | |
| Vimeo | 35 | 0.2% |
| (Missing) | 8286 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| youtube | 7159 | |
| vimeo | 35 | 0.5% |
Most occurring characters
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Most occurring categories
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Most frequent character per category
Most occurring scripts
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Most frequent character per script
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Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Title | Genre | Tags | Languages | Series or Movie | Hidden Gem Score | Country Availability | Runtime | Director | Writer | Actors | View Rating | IMDb Score | Rotten Tomatoes Score | Metacritic Score | Awards Received | Awards Nominated For | Boxoffice | Release Date | Netflix Release Date | Production House | Netflix Link | IMDb Link | Summary | IMDb Votes | Image | Poster | TMDb Trailer | Trailer Site | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Lets Fight Ghost | Crime, Drama, Fantasy, Horror, Romance | Comedy Programmes,Romantic TV Comedies,Horror Programmes,Thai TV Programmes | Swedish, Spanish | Series | 4.3 | Thailand | < 30 minutes | Tomas Alfredson | John Ajvide Lindqvist | Kåre Hedebrant, Per Ragnar, Lina Leandersson, Henrik Dahl | R | 7.9 | 98.0 | 82.0 | 74.0 | 57.0 | $2,122,065 | 12 Dec 2008 | 2021-03-04 | Canal+, Sandrew Metronome | https://www.netflix.com/watch/81415947 | https://www.imdb.com/title/tt1139797 | A med student with a supernatural gift tries to cash in on his abilities by facing off against ghosts, till a wandering spirit brings romance instead. | 205926.0 | https://occ-0-4708-64.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABcmgLCxN8dNahdY2kgd1hhcL2a6XrE92x24Bx5h6JFUvH5zMrv6lFWl_aWMt33b6DHvkgsUeDx_8Q1rmopwT3fuF8Rq3S1hrkvFf3uzVv2sb3zrtU-LM1Zy1FfrAKD3nKNyA_RQWrmw.jpg?r=cd0 | https://m.media-amazon.com/images/M/MV5BOWM4NTY2NTMtZDZlZS00NTgyLWEzZDMtODE3ZGI1MzI3ZmU5XkEyXkFqcGdeQXVyNzI1NzMxNzM@._V1_SX300.jpg | NaN | NaN |
| 1 | HOW TO BUILD A GIRL | Comedy | Dramas,Comedies,Films Based on Books,British | English | Movie | 7.0 | Canada | 1-2 hour | Coky Giedroyc | Caitlin Moran | Paddy Considine, Cleo, Beanie Feldstein, Dónal Finn | R | 5.8 | 79.0 | 69.0 | 1.0 | NaN | $70,632 | 08 May 2020 | 2021-03-04 | Film 4, Monumental Pictures, Lionsgate | https://www.netflix.com/watch/81041267 | https://www.imdb.com/title/tt4193072 | When nerdy Johanna moves to London, things get out of hand when she reinvents herself as a bad-mouthed music critic to save her poverty-stricken family. | 2838.0 | https://occ-0-1081-999.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABe_fxMSBM1E-sSoszr12SmkI-498sqBWrEyhkchdn4UklQVjdoPS_Hj-NhvgbePvwlDSzMTcrIE0kgiy-zTEU_EaGg.jpg?r=35a | https://m.media-amazon.com/images/M/MV5BZGUyN2ZlMjYtZTk2Yy00MWZiLWIyMDktMzFlMmEzOWVlMGNiXkEyXkFqcGdeQXVyMTE1MzI2NzIz._V1_SX300.jpg | https://www.youtube.com/watch?v=eIbcxPy4okQ | YouTube |
| 2 | Centigrade | Drama, Thriller | Thrillers | English | Movie | 6.4 | Canada | 1-2 hour | Brendan Walsh | Brendan Walsh, Daley Nixon | Genesis Rodriguez, Vincent Piazza | Unrated | 4.3 | NaN | 46.0 | NaN | NaN | $16,263 | 28 Aug 2020 | 2021-03-04 | NaN | https://www.netflix.com/watch/81305978 | https://www.imdb.com/title/tt8945942 | Trapped in a frozen car during a blizzard, a pregnant woman and her husband fight to survive while the temperatures plummet. Inspired by a true story. | 1720.0 | https://occ-0-1081-999.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABW-fG-2_s3pGsBdbw4nLCWENcRKL2Ngj7Kv5_QQVgZ--GT8eg-BlyJZM9ZaAg5kAYHefo77975PKaTZ3Yza1zLQwgQ.jpg?r=66b | https://m.media-amazon.com/images/M/MV5BODM2MDQ5MjktYTM1ZS00Y2M4LTg0MDAtZjFjZDM1MDQxZGRmXkEyXkFqcGdeQXVyNDA1NDA2NTk@._V1_SX300.jpg | https://www.youtube.com/watch?v=0RvV7TNUlkQ | YouTube |
| 3 | ANNE+ | Drama | TV Dramas,Romantic TV Dramas,Dutch TV Shows | Turkish | Series | 7.7 | Belgium,Netherlands | < 30 minutes | NaN | NaN | Vahide Perçin, Gonca Vuslateri, Cansu Dere, Beren Gokyildiz | NaN | 6.5 | NaN | NaN | 1.0 | NaN | NaN | 01 Oct 2016 | 2021-03-04 | NaN | https://www.netflix.com/watch/81336456 | https://www.imdb.com/title/tt6132758 | Upon moving into a new place, a 20-something runs into a former flame that triggers memories of past relationships since their split four years ago. | 1147.0 | https://occ-0-1489-1490.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABeq3p0f50KPNQTYmozdPUenqXI3bh6Hadry-yMpooR0_Hm2VzUqIzq1V7oihe9ImLxaZC72w9HttdBRoORQT-WVkaA.jpg?r=f82 | https://m.media-amazon.com/images/M/MV5BNWRkMzdiYjgtOTA0Yi00NjZiLWFjZjMtYThlMTE5MWEwYWU4XkEyXkFqcGdeQXVyODY1MDkwOQ@@._V1_SX300.jpg | NaN | NaN |
| 4 | Moxie | Animation, Short, Drama | Social Issue Dramas,Teen Movies,Dramas,Comedies,Movies Based on Books | English | Movie | 8.1 | Lithuania,Poland,France,Iceland,Italy,Spain,Greece,Czech Republic,Belgium,Portugal,Canada,Hungary,Mexico,Slovakia,Sweden,South Africa,Netherlands,Germany,Thailand,Turkey,Singapore,Romania,Argentina,Israel,Switzerland,Australia,United Kingdom,Brazil,Malaysia,India,Colombia,Hong Kong,Japan,South Korea,United States,Russia | 1-2 hour | Stephen Irwin | NaN | Ragga Gudrun | NaN | 6.3 | NaN | NaN | NaN | 4.0 | NaN | 22 Sep 2011 | 2021-03-04 | NaN | https://www.netflix.com/watch/81078393 | https://www.imdb.com/title/tt2023611 | Inspired by her moms rebellious past and a confident new friend, a shy 16-year-old publishes an anonymous zine calling out sexism at her school. | 63.0 | https://occ-0-4039-1500.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABb72YCHDSHzrB8i5_iG56UFm-qV2bslRyMHIqZ4tmlIpeVtMsqAyUem6JAxXtV4Ec9jlA4EpTdf5tNX2ivyLUwmPy4d3xowFdJE63MPXbWu8kAnc-j9qhAZrmMI.jpg?r=fad | https://m.media-amazon.com/images/M/MV5BODYyNWFjODYtYTU3NC00ZmM2LTk3YzEtZDQzZjU0YzZhMTkzXkEyXkFqcGdeQXVyMTE2NzYxNDcz._V1_SX300.jpg | NaN | NaN |
| 5 | The Con-Heartist | Comedy, Romance | Romantic Comedies,Comedies,Romantic Films,Thai Comedies,Thai Films | Thai | Movie | 8.6 | Thailand | > 2 hrs | Mez Tharatorn | Pattaranad Bhiboonsawade, Thodsapon Thiptinnakorn, Mez Tharatorn | Thiti Mahayotaruk, Nadech Kugimiya, Kathaleeya McIntosh, Pimchanok Leuwisetpaiboon | NaN | 7.4 | NaN | NaN | NaN | NaN | NaN | 03 Dec 2020 | 2021-03-03 | NaN | https://www.netflix.com/watch/81306155 | https://www.imdb.com/title/tt13393728 | After her ex-boyfriend cons her out of a large sum of money, a former bank employee tricks a scam artist into helping her swindle him in retaliation. | 131.0 | https://occ-0-2188-64.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABSj6td_whxb4en62Ax5EKSKMl2lTzEK5CcBhwBdjRgF6SOJb4RtVoLhPAUWEskuOxPiaafxU1qauZDTJguwNQ9GstA.jpg?r=e76 | https://m.media-amazon.com/images/M/MV5BODAzOGZmNjUtMTIyMC00NGU1LTg5MTMtZWY4MDdiZjI0NGEwXkEyXkFqcGdeQXVyNzEyMTA5MTU@._V1_SX300.jpg | https://www.youtube.com/watch?v=md3CmFLGK6Y | YouTube |
| 6 | Gleboka woda | Drama | TV Dramas,Polish TV Shows,Social Issue TV Dramas | Polish | Series | 8.7 | Poland | < 30 minutes | NaN | NaN | Marcin Dorocinski, Piotr Nowak, Julia Kijowska, Katarzyna Maciag | NaN | 7.5 | NaN | NaN | 2.0 | 4.0 | NaN | 14 Jun 2011 | 2021-03-03 | NaN | https://www.netflix.com/watch/81307527 | https://www.imdb.com/title/tt2300049 | A group of social welfare workers led by their new director tries to provide necessary aid to people struggling with various problems. | 47.0 | https://occ-0-2508-2706.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABSxWH_aWvJrqXWANpOp86kFpU3kdpqx9RsdYZZGHfpIalSig2QHKaZXm8vhKWr89-OLh5XqzIHj_5UzwNriADy19NQ.jpg?r=561 | https://m.media-amazon.com/images/M/MV5BMTc0NzZiYTYtMTQyNy00Mjg0LTk1NzMtMTljMjI4ZmM4ZjFmXkEyXkFqcGdeQXVyMTc4MzI2NQ@@._V1_SX300.jpg | NaN | NaN |
| 7 | Instynkt | Crime | TV Dramas,Crime TV Dramas,Polish TV Shows | Polish | Series | 6.9 | Poland | < 30 minutes | NaN | NaN | Pawel Królikowski, Szymon Bobrowski, Danuta Stenka, Piotr Glowacki | NaN | 3.9 | NaN | NaN | NaN | NaN | NaN | 03 Mar 2011 | 2021-03-03 | NaN | https://www.netflix.com/watch/81307482 | https://www.imdb.com/title/tt1973421 | An enigmatic commissioner joins the Warsaw Police, where her unconventional investigation methods unsettle the officers in the homicide department. | 107.0 | https://occ-0-2508-2706.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABUOq8KM0VPlrak8DpkXjMWY28qjpsdG_WT1ee8BDyBmk8X2453s0gQuHGVvV-D0OT-yq6C07b31Z2s-2MesSDaY1CQ.jpg?r=666 | https://m.media-amazon.com/images/M/MV5BZWYyYWQxZGUtYTNjMy00OGVhLTk4MTktZDgwOTdiOGZmMDA1L2ltYWdlXkEyXkFqcGdeQXVyMTc4MzI2NQ@@._V1_SX300.jpg | NaN | NaN |
| 8 | Only a Mother | Drama | Social Issue Dramas,Dramas,Movies Based on Books,Period Pieces,Swedish Movies | Swedish | Movie | 8.3 | Lithuania,Poland,France,Italy,Spain,Greece,Belgium,Portugal,Netherlands,Germany,Switzerland,United Kingdom,Iceland,Czech Republic | 1-2 hour | Alf Sjöberg | Ivar Lo-Johansson | Ulf Palme, Ragnar Falck, Hugo Björne, Eva Dahlbeck | NaN | 6.7 | NaN | NaN | 2.0 | 1.0 | NaN | 31 Oct 1949 | 2021-03-03 | NaN | https://www.netflix.com/watch/81382068 | https://www.imdb.com/title/tt0041155 | An unhappily married farm worker struggling to care for her children reflects on her lost youth and the scandalous moment that cost her true love. | 88.0 | https://occ-0-2851-41.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABdpOFktQ4Z3klQEU2XQc9NWompf70CHEGLPIeBdCGGLDhvy1Mqly5552DUYR5-5M77STCj8rPvCbXltOcTj53olEzA.jpg?r=c84 | https://m.media-amazon.com/images/M/MV5BMjVmMzA5OWYtNTFlMy00ZDBlLTg4NDUtM2NjYjFhMGYwZjBkXkEyXkFqcGdeQXVyNzQxNDExNTU@._V1_SX300.jpg | NaN | NaN |
| 9 | Snowroller | Comedy | Sports Movies,Sports Comedies,Comedies,Swedish Movies | Swedish, English, German, Norwegian | Movie | 5.3 | Lithuania,Poland,France,Italy,Spain,Greece,Czech Republic,Belgium,Portugal,Hungary,Slovakia,Netherlands,Germany,Romania,Switzerland,United Kingdom,Iceland | 1-2 hour | Lasse Åberg | Lasse Åberg, Bo Jonsson | Jon Skolmen, Cecilia Walton, Lasse Åberg, Eva Millberg | NaN | 6.6 | NaN | NaN | NaN | NaN | NaN | 04 Oct 1985 | 2021-03-03 | NaN | https://www.netflix.com/watch/81382187 | https://www.imdb.com/title/tt0090115 | Two friends take a ski trip to the Alps, where they enjoy the outdoors and try to charm two women also on vacation. | 5926.0 | https://occ-0-2851-41.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABQoql2u62H3BqwAhwJWTF-F0QIaG7dmZiMx8WDff2YUSCX-Sgo072F5HPosZbBJTcYQBjNACBHurAbB40rPQxWBrzQ.jpg?r=667 | https://m.media-amazon.com/images/M/MV5BZDY2NGFkMjUtOGQxOS00M2E0LWE1MmYtNDYzOGNiNWI0NmJkXkEyXkFqcGdeQXVyMTQzMjU1NjE@._V1_SX300.jpg | NaN | NaN |
Last rows
| Title | Genre | Tags | Languages | Series or Movie | Hidden Gem Score | Country Availability | Runtime | Director | Writer | Actors | View Rating | IMDb Score | Rotten Tomatoes Score | Metacritic Score | Awards Received | Awards Nominated For | Boxoffice | Release Date | Netflix Release Date | Production House | Netflix Link | IMDb Link | Summary | IMDb Votes | Image | Poster | TMDb Trailer | Trailer Site | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 15470 | Jochem Myjer: Yeeehaa! | NaN | Stand-up Comedy,International Movies,Comedies | NaN | Movie | NaN | Belgium | 1-2 hour | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70281218 | NaN | Join comedian and musician Jochem Myjer for a roller-coaster ride of wacky dances, spirited trivia games and sublime impersonations of famous people. | NaN | http://occ-0-768-769.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABV4d4qe6Y-_hy-qWvcdlYizxWXKhupmJcgT_JI8LeW-I9VsXjjc_BZhdvy4furR0taY0LypZ5dNxu27qOAQnfzi1xA.jpg?r=fed | NaN | NaN | NaN |
| 15471 | DreamWorks Short Stories | NaN | TV Comedies,Kids TV,TV Programmes,TV Cartoons,Family Watch Together TV | NaN | Series | NaN | United Kingdom,France,Switzerland,Belgium,Netherlands,Germany | < 30 minutes | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70259782 | NaN | DreamWorkss coolest characters star in this collection of shorts that finds B.O.B. planning a breakout, zombie carrots on the attack and more. | NaN | https://occ-0-2773-2774.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABfaddRM5S_tPZouVxOQ8BsNnDV-J_W3p2QqBKpIsMjygFIY_UDYNgCic5PofIgM6vEWacbIzza1-Q8ZDRxNa9NGKfA.jpg?r=5b4 | NaN | NaN | NaN |
| 15472 | DreamWorks Shrek Stories | NaN | TV Comedies,Kids TV,TV Programmes,Animal Tales,TV Cartoons,TV Shows Based on Books,Family Watch Together TV | NaN | Series | NaN | Belgium,United Kingdom,France,Switzerland,Netherlands,Germany | < 30 minutes | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70259783 | NaN | Shrek celebrates a busy Christmas and a spooky Halloween, Puss in Boots is captured by soldiers, and the kingdom hosts a singing competition. | NaN | https://occ-0-2773-2774.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABaXUdtjsLm-qWVTvFXvXhShbVSPd1pt2IBX_FcIhpEGPs-IdT8_uMZtYEcxLPqYLicbwO4W_5itME84Iz--Im0bBcg.jpg?r=b1b | NaN | NaN | NaN |
| 15473 | Daniel Arends: Blessuretijd | Comedy | Stand-up Comedy,International Movies,Comedies | Dutch | Movie | 8.8 | Belgium | 1-2 hour | Doesjka van Hoogdalem | Daniël Arends | Daniël Arends | NaN | 7.8 | NaN | NaN | NaN | NaN | NaN | 13 Jan 2012 | 2015-04-14 | NaN | https://www.netflix.com/watch/70281233 | NaN | In his third show, Daniël Arends argues that good deeds are a form of self interest, and evil deeds are a hobby. | 174.0 | http://occ-0-768-769.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABfaXNjUOW0ImkindVrKUsLj6_pGyZqgruElfokzYYslHo3Ixvj_csRujDog1rkI2TJ8TS8FbO2oCkKaOTqiiz7vYcQ.jpg?r=120 | NaN | NaN | NaN |
| 15474 | Nijntje and Vriendjes | NaN | Kids TV,TV Programmes,Dutch TV Shows,TV Shows Based on Books | NaN | Series | NaN | Belgium,Netherlands | < 30 minutes | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70282153 | NaN | Dick Brunas classic childrens stories get a new twist in this stop-motion animated series about Miffy the bunny and her friends. | NaN | https://occ-0-768-769.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABY5C71RCNbVt7hOmI4rscRydaog34XC7zzZnbesd3Sj8Q-KI-cZYqvMtO7eJXbv3KEOBdQSXsyxu7Fw1EmSTHXyKPg.jpg?r=d9a | NaN | NaN | NaN |
| 15475 | K-POP Extreme Survival | NaN | TV Dramas,TV Programmes,TV Comedies,Romantic TV Comedies,Music & Musicals,Korean TV Shows | NaN | Series | NaN | South Korea,Argentina,United Kingdom,Australia,Switzerland,France,Spain,Iceland,India,Lithuania,Russia,Czech Republic,Romania,Singapore,United States,Canada,Mexico,Hong Kong,South Africa,Belgium,Hungary,Greece,Slovakia,Turkey,Malaysia,Brazil,Israel,Colombia | < 30 minutes | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/80031595 | NaN | Seung Yeon decides to chase her dream of becoming a K-pop star and audition for a popular group. Theres only one catch: Its a boy band. | NaN | https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABQviZS2b2JMOgU8Brpj04HonopFETV3XdiEJk72dhMK_ZgI8drDPi58GeLVGuj4ikroPJqwin3bxvST4t3Q9p6c9_Q.jpg?r=59a | NaN | NaN | NaN |
| 15476 | DreamWorks Shreks Swamp Stories | NaN | Animal Tales,Family Comedies,Family Adventures,Children & Family Films,Films for ages 8 to 10,Comedies,Films based on childrens books,Films for ages 5 to 7,Comedy Programmes,Action & Adventure Programmes,TV Cartoons,Kids' TV,TV Programmes Based on Books,Family Watch Together TV | NaN | Series | NaN | Russia,Hong Kong,Hungary,Australia,South Korea,Poland,Lithuania,Japan,Romania,Argentina,Spain,Portugal,Czech Republic,Canada,South Africa,Singapore,United States,Greece,Slovakia,Thailand,Turkey,Malaysia,Brazil,Italy,Iceland,Israel,India,Mexico,Colombia | < 30 minutes | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70242630 | NaN | Shrek celebrates Halloween, Puss in Boots is captured by soldiers, and the gang participates in a kingdom-wide singing competition. | NaN | https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABck2o1jCpt_mzvzdFREbMb9t5Uh85V9tzaHwTehAPcyqklM5Qwgl1t1yznUNV7DPBzIYQTXgn5OelxIXzP7Iwd7cog.jpg?r=8c4 | NaN | NaN | NaN |
| 15477 | DreamWorks Happy Holidays from Madagascar | Animation, Comedy, Family | TV Comedies,Kids TV,Animal Tales,TV Cartoons,TV Programmes,Romantic Favorites,Family Watch Together TV | English | Series | 8.4 | Belgium,Switzerland,United States,Germany,United Kingdom,France,India,Russia,Greece,Slovakia,Singapore,Poland,Czech Republic,Lithuania,Hong Kong,Romania,South Africa,Australia,Spain,Iceland,Portugal,South Korea,Japan,Thailand,Hungary,Turkey,Mexico,Canada,Argentina,Malaysia,Brazil,Netherlands,Italy,Israel,Colombia | < 30 minutes | NaN | NaN | Jung Hyun Kim | NaN | 6.8 | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70259784 | NaN | Madagascar goes wild with holiday spirit in this set of Valentines Day and Christmas-themed tales featuring everyones favorite animal characters. | 71.0 | https://occ-0-2773-2774.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABZw5kYV3oBd71eWvQXoSm5BufEIzAa3uVfNeu1eHhGiP1R4tUX_lf5-DRNZbfBSS54Kc62LH3wsi2Ic9nYOr5PsvTA.jpg?r=9b7 | NaN | NaN | NaN |
| 15478 | DreamWorks Holiday Classics | Animation, Comedy, Family | TV Comedies,Kids TV,TV Cartoons,TV Programmes,Family Watch Together TV | English | Series | 8.2 | Belgium,Switzerland,Germany,Argentina,United Kingdom,France,Poland,Slovakia,Czech Republic,Lithuania,Romania,Greece,India,Russia,South Africa,Singapore,Hong Kong,Australia,Spain,Iceland,South Korea,Japan,Mexico,Canada,Thailand,Hungary,Portugal,Turkey,United States,Malaysia,Brazil,Netherlands,Italy,Israel,Colombia | < 30 minutes | NaN | NaN | NaN | Unrated | 6.4 | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | Fox | https://www.netflix.com/watch/70221348 | NaN | Join your DreamWorks friends for these four holiday specials, featuring Shrek and Donkey, Hiccup and Toothless, and the wacky animals from Madagascar. | 82.0 | https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABYJ7VZV8ZC5k9vYP9wgVF7zmGotI27xLHGsbNdV7a7f1cBAK5wpRgLiHu72tRt-CYt9K0S04d_apfQ1AP83nsEvqWw.jpg?r=461 | NaN | NaN | NaN |
| 15479 | DreamWorks Kung Fu Panda Awesome Secrets | Animation, Action, Comedy, Family | TV Comedies,Kids TV,Animal Tales,TV Cartoons,TV Programmes,Action & Adventure Programmes,Family Watch Together TV | English | Series | 8.1 | Belgium,Switzerland,Germany,United Kingdom,France,India,Russia,Greece,South Korea,Slovakia,Singapore,Poland,Czech Republic,Lithuania,Hong Kong,Romania,South Africa,Australia,Spain,Iceland,Portugal,Japan,Thailand,United States,Hungary,Turkey,Canada,Argentina,Mexico,Malaysia,Brazil,Netherlands,Italy,Israel,Colombia | < 30 minutes | NaN | NaN | NaN | TV-PG | 6.2 | NaN | NaN | NaN | NaN | NaN | NaN | 2015-04-14 | NaN | https://www.netflix.com/watch/70241791 | NaN | In this pair of adventures, Po tells the story of how masters Thundering Rhino, Storming Ox and Croc met and takes on Shifus biggest challenge yet. | 17.0 | https://occ-0-2851-38.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABUB5x0Ln3__-FRjQ7fCQiGT6PD2ltD2pyQluXR9SqF5lg_wBRBWxf_n-C9xM1TnBXZkQS8JM4lQVa6MlG-JYCH9fUA.jpg?r=cfc | NaN | NaN | NaN |